A dean of a business school has fit a regression model to predict college GPA ba
ID: 3159768 • Letter: A
Question
A dean of a business school has fit a regression model to predict college GPA based on a student's SAT score (SAT_Score), the percentile at which the student graduated high school (HS_Percentile) (for instance, graduating 4th in a class of 500 implies that 496 other students are at or below that student, so the percentile is 496/500 x 100 = 99), and the total college hours the student has accumulated (Total_Hours). The regression results are shown below.
Which of the following correctly specifies the hypothesis test for testing whether Total_Hours has a significant relationship with GPA? Read carefully.
Explanation / Answer
The coefficient of Total Hours here is Beta3.
Hence, as we just want a relationship (not specifically positive or negative), then it is two tailed, so
OPTION F: Ho: Beta3 = 0, Ha: Beta3 =/= 0 [ANSWER]